CogView4

Generate images from text with custom sizes and batch up to 4

Prompt

"A vibrant and artistic digital composition featuring colorful splashes of paint, text 'CogView4 on JAI Portal', modern futuristic font"

Generated Result

Generated

Describe your idea and create an image in seconds

12,000+ images created this month

📄 About CogView4

CogView4 is an advanced AI-powered text-to-image generation model designed to transform detailed textual prompts into visually striking images. Leveraging state-of-the-art deep learning techniques, CogView4 excels at interpreting long and descriptive prompts, producing images that closely align with user intent. With its robust architecture, CogView4 empowers users to create custom visuals for a wide range of applications, from digital art and marketing materials to concept illustrations and social media content. One of the standout features of CogView4 is its adaptability. Users can specify custom image sizes, choosing from a variety of aspect ratios such as square, portrait, and landscape formats, with resolutions ranging from 1024 to 4096 pixels. This flexibility makes it easy to generate images tailored for specific platforms or print needs. CogView4 also allows users to generate between one and four images per prompt, providing multiple creative options in a single run. Quality control is at the core of the CogView4 experience. The model supports between 1 and 50 inference steps; higher step counts yield more detailed and refined images. Creative guidance is further enhanced through the adjustable CFG (Classifier-Free Guidance) scale, which lets users decide how closely the generated image should follow the prompt, enabling fine-tuned control over creativity and fidelity. CogView4 supports both JPEG and PNG output formats, ensuring compatibility with various workflows. The inclusion of a negative prompt feature allows users to specify unwanted elements, minimizing the appearance of undesired artifacts or subjects. For added safety, a built-in content safety checker can be enabled to filter out inappropriate or unsafe content, making the platform suitable for professional and public-facing projects. The model’s seamless integration with pay-as-you-go credit systems means users can access its powerful capabilities without long-term commitments. Whether you are a professional designer, a marketer seeking compelling visuals, or a developer looking to automate graphic generation, CogView4 delivers consistent, high-quality results. Its technology is ideal for generating digital compositions, marketing graphics, book covers, concept art, and more—limited only by your imagination. By harnessing the power of advanced AI, CogView4 unlocks new creative possibilities for individuals and teams. From rapid prototyping and creative brainstorming to final production graphics, this model stands as a versatile tool in the modern digital creator’s toolkit.

✨ Key Features

High-quality text-to-image generation that excels with longer, descriptive prompts.

Customizable image sizes and aspect ratios, including support for square, portrait, and landscape formats.

Generate between 1 and 4 images per prompt, providing multiple creative options in a single session.

Adjustable inference steps (1-50) for controlling image detail and refinement.

Configurable CFG guidance scale (0-20) to fine-tune adherence to user prompts.

Supports JPEG and PNG output formats for maximum compatibility.

Negative prompt input and built-in content safety checker for greater control and safe usage.

💡 Use Cases

⚡Creating unique digital artwork and illustrations from text descriptions.

⚡Generating marketing graphics and promotional materials for social media.

⚡Designing book or album covers with custom visual themes.

⚡Rapid prototyping of concept art and visual ideas for creative projects.

⚡Producing engaging content for blogs, websites, and presentations.

⚡Automating graphic creation for e-commerce or advertising campaigns.

⚡Developing educational visuals and infographics tailored to specific topics.

🎯 Best For

🎯 Professional designers, marketers, content creators, and developers seeking high-quality, customizable AI-generated images.

👍 Pros

✓Delivers high-resolution, visually compelling images from detailed prompts.

✓Highly customizable output settings, including size, format, and number of images.

✓Intuitive negative prompt feature to filter out unwanted elements.

✓Built-in content safety checker for responsible and safe image generation.

✓Supports rapid, pay-as-you-go access for flexible usage.

⚠️ Considerations

△Longer prompts are required for optimal results; brief prompts may yield generic images.

△Model may require experimentation with settings to achieve best quality.

△Limited to generating a maximum of four images per prompt.

📚 How to Use CogView4

Enter a detailed and descriptive text prompt to guide the image generation.

Optionally add a negative prompt to specify any elements you want to avoid in the image.

Select the desired image size and aspect ratio, or choose a custom resolution within supported limits.

Adjust the number of inference steps and CFG guidance scale to balance image detail and prompt fidelity.

Choose the number of images to generate and select the preferred output format (JPEG or PNG).

Submit your request and download the generated images once processing is complete.

💡 Pro Tips for CogView4

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Write Detailed, Descriptive Prompts CogView4 performs best with longer, more descriptive prompts that include specific details about composition, lighting, color palette, and subject matter. Instead of 'a cat,' try 'a fluffy orange tabby cat sitting on a wooden windowsill at sunset, warm golden light, detailed fur texture.' The model's architecture is optimized to extract nuance from extended descriptions, so adding context about style, mood, and setting will significantly improve output quality and alignment with your vision.

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Balance Inference Steps and CFG Scale Start with 50 inference steps and a CFG scale of 3.5 for optimal results, then adjust based on your needs. Higher inference steps (40-50) produce more refined details but take longer. A CFG scale between 3 and 7 typically works well—lower values allow more creative interpretation, while higher values enforce stricter prompt adherence. If your images look overprocessed or artificial, reduce the CFG scale. For faster iterations during concept development, try 25-30 steps with a moderate CFG.

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Use Negative Prompts to Refine Output The negative prompt field is essential for filtering out common unwanted elements like 'blurry, low resolution, distorted faces, watermark, text, cropped edges.' Be specific about what you want to avoid—if you're generating portraits, add 'extra limbs, asymmetrical features' to the negative prompt. This feature saves credits by reducing the need for multiple generations. Experiment with different negative prompt combinations to learn what works best for your use case and build a reusable template.

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Generate Multiple Images for Better Selection Set num_images to 4 to generate multiple variations in a single run, giving you more creative options to choose from. This batch approach is more efficient than running four separate generations and helps you identify which prompt elements produce the best results. Compare outputs side-by-side to refine your prompting strategy. For projects requiring consistent style, note the seed value of your preferred image and reuse it with prompt variations to maintain visual coherence across a series.

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Choose the Right Aspect Ratio for Your Platform Select aspect ratios based on your final use case—square_hd (1:1) works well for social media profile images and Instagram posts, landscape_16_9 is ideal for YouTube thumbnails and website banners, while portrait_16_9 suits mobile-first content and stories. CogView4 supports resolutions from 1024 to 4096 pixels, so you can generate high-resolution assets suitable for print or large displays. For marketing materials requiring precise dimensions, use the custom size option to match your brand guidelines exactly.

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Compare with Specialized Alternatives for Specific Needs While CogView4 excels at general text-to-image generation with strong prompt interpretation, consider Recraft V4 Pro Text to Image for design-focused work requiring precise typography and vector-style graphics, or Kling Image v3 Text to Image for photorealistic outputs. For vintage aesthetics, FLUX 2 Sepia Vintage offers specialized stylization. Test multiple models on JAI Portal's side-by-side comparison view to find the best fit for your specific project requirements and visual style preferences.

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Frequently Asked Questions

CogView4 uses advanced deep learning algorithms to interpret your text prompts and create images that visually represent your description. The quality and accuracy improve with more detailed and specific prompts.

CogView4 supports a wide range of image sizes, including square, portrait, and landscape formats. Output is available in both JPEG and PNG formats, allowing you to choose what best fits your needs.

The negative prompt feature allows you to specify elements or characteristics you want to avoid in the generated images. This helps reduce the appearance of unwanted subjects or artifacts.

CogView4 includes a content safety checker that can be enabled to help filter out inappropriate or unsafe content. This makes it suitable for both professional and public-facing projects.

Pricing varies by model and is based on a pay-as-you-go credit system, allowing you to pay only for the images you generate without long-term commitments.

Credit consumption for CogView4 depends on the resolution, number of images, and inference steps you select. A single 1024×1024 image at 50 steps typically consumes fewer credits than a 4096×4096 image at the same settings. Generating four images in a batch (num_images set to 4) will consume proportionally more credits than a single image, but batch generation is more efficient than running four separate requests. Higher inference steps increase processing time and credit cost slightly. For the most current pricing, check the model's page on JAI Portal or view your credit balance after configuring your generation parameters. All paid generations include full commercial-use rights, so you own the output without additional licensing fees.

Yes, all images generated with paid credits on JAI Portal, including those from CogView4, come with full commercial-use rights. You can use the outputs in marketing campaigns, client projects, product packaging, websites, social media advertising, print materials, and any other commercial application without additional licensing or attribution requirements. This applies whether you're a freelancer, agency, or enterprise user. The pay-as-you-go model ensures you only pay for what you generate, and every paid output is yours to use commercially. Free trial credits or promotional generations may have different terms, so review JAI Portal's terms of service for specifics on free-tier usage.

CogView4 supports batch generation of up to four images per prompt through the num_images parameter, which is ideal for exploring creative variations or providing clients with multiple options. For larger-scale automation, JAI Portal offers API access where you can integrate CogView4 into your applications, content management systems, or automated marketing pipelines. The API supports both synchronous and asynchronous modes—sync_mode returns results immediately, while async mode is better for high-volume workflows where you can poll for completion. You can programmatically adjust all parameters including prompt, negative_prompt, image_size, inference_steps, and guidance_scale. API documentation and authentication details are available in your JAI Portal dashboard under the developer section.

CogView4 generates high-resolution images ranging from 1024×1024 pixels up to 4096×4096 pixels, depending on your selected aspect ratio and custom dimensions. The model supports both JPEG and PNG output formats. JPEG is ideal for photographic content, social media, and web use where smaller file sizes are beneficial, while PNG is better for graphics requiring transparency or when maximum quality preservation is needed for further editing. At 50 inference steps with optimal prompt engineering, CogView4 produces detailed, visually compelling images suitable for professional use, including print at appropriate DPI settings. Color accuracy and detail rendering improve with higher inference steps, making the model suitable for marketing materials, concept art, and editorial illustrations.

If CogView4 outputs don't align with your expectations, first ensure your prompt is detailed and specific—longer prompts with clear descriptions of composition, style, lighting, and subject matter yield better results. Use the negative prompt field to explicitly exclude unwanted elements like 'blurry, low quality, distorted.' Increase the CFG guidance_scale (try 5-7) to make the model follow your prompt more strictly, though values above 10 may produce over-saturated or artificial results. Experiment with inference_steps—50 steps generally produce the best quality. If results remain inconsistent, try breaking complex scenes into simpler prompts or compare with alternative models like WAN 2.7 Pro Text to Image or Recraft V4 Pro Text to Image to see if a different architecture better suits your use case.

⚖️ How CogView4 Compares

CogView4 stands out on JAI Portal for its strong prompt interpretation and flexible output settings, making it an excellent general-purpose text-to-image model for users who value detailed control and high-resolution generation. Compared to Recraft V4 Pro Text to Image, which specializes in design-focused graphics with precise typography and vector-style aesthetics, CogView4 offers broader creative flexibility and excels with descriptive, narrative prompts. For users seeking photorealistic outputs, Kling Image v3 Text to Image may deliver more lifelike results, while Bytedance Seedream v5 Lite Text to Image provides faster generation at the cost of some detail refinement. CogView4's ability to generate up to four images per prompt with customizable aspect ratios and resolutions from 1024 to 4096 pixels makes it particularly well-suited for marketers, content creators, and designers who need multiple creative options and precise output dimensions. The model's adjustable inference steps (1-50) and CFG guidance scale (0-20) offer fine-grained control over quality and prompt adherence, which is ideal for iterative creative workflows. Choose CogView4 when you need a versatile, high-quality image generator that balances creative interpretation with technical control. For specialized needs like vintage aesthetics, explore FLUX 2 Sepia Vintage, or use JAI Portal's side-by-side comparison tool to test multiple models before committing credits. New users can start with a free trial at JAI Portal signup to compare CogView4 against alternatives and find the best fit for their projects.